Publications

Theory and Methods

  • Dey D, Banerjee S, Lindquist MA, Datta A. 2025. Graph-constrained analysis for multivariate functional data. Journal of Multivariate Analysis. https://doi.org/10.1016/j.jmva.2025.105428
  • Dey D, Ghosal R, Merikangas KR, Zipunnikov V. 2024. Functional principal component analysis for continuous non-Gaussian, truncated, and discrete functional data: A semiparametric Gaussian copula approach. Statistics in Medicine. 43(12):2489–2508. https://onlinelibrary.wiley.com/doi/full/10.1002/sim.10240
  • Dey D, Datta A, Banerjee S. 2022. Graphical Gaussian process models for highly multivariate spatial data. Biometrika. 109(4):993–1014. https://doi.org/10.1093/biomet/asab061
  • Dey D, Zipunnikov V. 2022. Semiparametric Gaussian copula regression modeling for mixed data types (SGCRM). arXiv:2205.06868 https://arxiv.org/abs/2205.06868
  • Dey D, Zipunnikov V. 2019. Connecting population-level AUC and latent scale-invariant R² via semiparametric Gaussian copula and rank correlations. arXiv:1910.14233 https://arxiv.org/abs/1910.14233

Software Packages

  • Dey D, Ghosal R. 2023. R package – SGCTools: Analysis tools for multivariate mixed data and continuous/truncated/discrete functional data using Semiparametric Gaussian Copula (SGC). GitHub. https://github.com/Ddey07/SGCTools

Applications

Digital Health Technologies (DHTs)

  • Merikangas KR, Kang S, Lamers F, Leroux A, Dey D, Husky M, Preisig M, Hickie I, Zipunnikov V. 2024. Harmonizing real time multi-domain assessments of mood disorder spectrum: Motor activity research consortium for health (mMARCH). BIPOLAR DISORDERS. 26:34–34. WILEY.
  • Kang SJ, Leroux A, Guo W, Dey D, Strippoli M-PF, Di J, Vaucher J, Marques-Vidal P, Vollenweider P, Preisig M, Merikangas KR, Zipunnikov V. 2024. Integrative modeling of accelerometry-derived sleep, physical activity, and circadian rhythm domains with current or remitted major depression. JAMA Psychiatry. 81(9):911–918.
  • Lateef TM, Dey D, Leroux A, Cui L, Xiao M, Zipunnikov V, Merikangas KR. 2024. Association between electronic diary–rated sleep, mood, energy, and stress with incident headache in a community-based sample. Neurology. 102(4):e208102. https://www.cnn.com/2024/01/24/health/migraine-predict-study-wellness/index.html
  • Stapp EK, Zipunnikov V, Leroux A, Cui L, Husky MM, Dey D, Merikangas KR. 2023. Specificity of affective dynamics of bipolar and major depressive disorder. Brain and Behavior. e3134.
  • Varma VR, Dey D, Leroux A, Di J, Urbanek J, Xiao L, Zipunnikov V. 2017. Re-evaluating the effect of age on physical activity over the lifespan. Preventive Medicine. 101:102–108. https://time.com/4821963/teens-sedentary-lifestyle-exercise/
  • Zipunnikov V, Dey D, Leroux A, Di J, Urbanek J, Schrack J, Crainiceanu C. 2017. Total physical activity and its circadian allocation are independent predictors of mortality. Innovation in Aging. 1(Suppl 1):1239.
  • Varma VR, Dey D, Leroux A, Di J, Urbanek J, Xiao L, Zipunnikov V. 2018. Total volume of physical activity: TAC, TLAC or TAC(λ). Preventive Medicine. 106:233–235.
  • Spira A, Zipunnikov V, Wu M, Dey D, Simonsick E, Ferrucci L, Davatzikos C, Resnick S. 2017. Association of circadian rest and activity rhythms with brain volumes in cognitively normal older adults. Innovation in Aging. 1(Suppl 1):866.

Environmental Sciences

  • Dey D, Datta A, Banerjee S. 2023. Modeling multivariate spatial dependencies using graphical models. New England Journal of Statistics in Data Science.

Soccer Analytics

  • Deb S, Dey D. 2019. Spatial modeling of shot conversion in soccer to single out goalscoring ability. Journal of Sports Analytics. 5(4):281–297.
  • Dey D, Pita A. 2018. The Good, The Bad, and The Ugly of the Beautiful Game — Analyzing FIFA World Cup 2018 data. GitHub Pages. https://ddey07.github.io/open-data/

Social Sciences

  • Kaufman MR, Dey D, Crainiceanu C, Dredze M. 2021. #metoo and Google inquiries into sexual violence: A hashtag campaign can sustain information seeking. Journal of Interpersonal Violence. 36(19-20):9857–9867.
  • Dey D, Zipunnikov V. 2020. Discussion of “An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China”. Journal of Data Science. 18(3):433–436.